Prediction of clusters using SVM algorithm in delineation of management zones

Abstract

Management zones in precision agriculture can be defined as the homogenous regions in the particular productivity area. To increase the yield productivity of the agriculture, it is important to manage these agriculture zones effectively. An important technique in analyzing these management zones are clustering. Using clustering it is easy to categorize the productivity area of the crop field. Clustering is a relevant topic in Data mining. Different clustering algorithms can be used to find out the clusters for the management zones. These clusters can be predicted using the algorithms such as Support vector Machine Algorithm.